Academy · Field 02

Probability

A framework for reasoning carefully when outcomes are uncertain.

In development

A proposed direction

Give uncertainty a mathematical form.

These are proposed areas of study. The course structure, prerequisites, and lesson sequence are still being developed.

Events & probability

Sample spaces, events, and the rules that turn informal statements about chance into precise questions.

Conditioning & independence

How information changes a probability, what independence means, and how conditional reasoning works.

Random variables & distributions

Discrete and continuous models, expectation, variation, and ways to describe the shape of uncertainty.

Many observations

The ideas behind limit behavior, simulation, and the connection between individual random outcomes and larger patterns.

The intended experience

A course with room to think.

Lessons & materials

Recorded explanations, written notes, and problems are planned for a dedicated course workspace.

Live board sessions

Interactive teaching is planned around a digital writing board, with questions and discussion during class.

A course discussion

A separate student forum is planned for each course, with space for questions, shared reasoning, and instructor replies.

These academy features are planned and are not available on the current public site.

Explore now

See an idea take shape.

The free Gaussian process explorer is already available in your browser. Add observations and investigate how a model responds.

Open the explorer

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